{"id":"W4246258169","doi":"10.7287/peerj.10184v0.6/reviews/1","title":"Peer Review #1 of \"Comparative analysis of the metabolically active microbial communities in the rumen of dromedary camels under different feeding systems using total rRNA sequencing (v0.6)\"","year":2020,"lang":"en","type":"peer-review","venue":"","topic":"Animal Diversity and Health Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Agriculture and Agri-Food Canada","funders":"","keywords":"Rumen; Biology; Ribosomal RNA; Food science; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028881,0.0002877582,0.002262765,0.00004567835,0.0002451351,0.00001688211,0.0007852076,0.000125401,0.0002310279],"category_scores_gemma":[0.0001121075,0.00008375895,0.0006892505,0.001193445,0.0003144086,0.00006768531,0.000540129,0.0005164983,5.799024e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239207,"about_ca_system_score_gemma":0.00006463566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178812,"about_ca_topic_score_gemma":0.006306305,"domain_scores_codex":[0.9968088,0.0009097083,0.0009245645,0.0002158,0.0009045865,0.0002365842],"domain_scores_gemma":[0.9971706,0.0007769809,0.001045804,0.0001213704,0.0008437288,0.00004146117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005304222,0.001597176,0.009698696,0.2190579,0.02987613,0.00000900985,0.07446369,0.0007051109,0.05142467,0.009975963,0.5993038,0.003357372],"study_design_scores_gemma":[0.0005926655,0.00108129,0.3632006,0.1715918,0.02924845,0.00002025722,0.2766748,0.0007218712,0.0005810546,0.00009836113,0.1544948,0.001693999],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6552908,0.2012438,0.000006365846,0.1273456,0.0005160862,0.003119982,0.005262966,0.00001956153,0.007194785],"genre_scores_gemma":[0.9402651,0.05252778,0.00002075375,0.003700127,0.0001186668,0.0000194642,0.0004501137,0.000001568093,0.002896454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.444809,"threshold_uncertainty_score":0.9847259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2282313078934723,"score_gpt":0.3447700243841758,"score_spread":0.1165387164907034,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}